{"id":"https://openalex.org/W2099967331","doi":"https://doi.org/10.1145/2396761.2398459","title":"Joint relevance and answer quality learning for question routing in community QA","display_name":"Joint relevance and answer quality learning for question routing in community QA","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2099967331","doi":"https://doi.org/10.1145/2396761.2398459","mag":"2099967331"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398459","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007102035","display_name":"Guangyou Zhou","orcid":"https://orcid.org/0000-0002-7675-6619"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyou Zhou","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389889","display_name":"Kang Liu","orcid":"https://orcid.org/0000-0002-0394-6796"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Liu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071321132","display_name":"Jun Zhao","orcid":"https://orcid.org/0000-0002-3004-7091"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhao","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1492","last_page":"1496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8118417263031006},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5859140157699585},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5813035368919373},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5783563256263733},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5479103326797485},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5283677577972412},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5149748921394348},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4903526306152344},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4687538146972656},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4120576083660126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36198633909225464},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3428349494934082},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10978221893310547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118417263031006},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5859140157699585},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5813035368919373},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5783563256263733},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5479103326797485},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5283677577972412},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5149748921394348},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4903526306152344},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4687538146972656},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4120576083660126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36198633909225464},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3428349494934082},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10978221893310547},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2398459","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1515991746","https://openalex.org/W1880262756","https://openalex.org/W1965555277","https://openalex.org/W1986044318","https://openalex.org/W2025895610","https://openalex.org/W2036226015","https://openalex.org/W2037858832","https://openalex.org/W2062020370","https://openalex.org/W2075196988","https://openalex.org/W2102394389","https://openalex.org/W2102956348","https://openalex.org/W2107391785","https://openalex.org/W2111548551","https://openalex.org/W2136542423","https://openalex.org/W2138621811","https://openalex.org/W2147308966","https://openalex.org/W2159133636","https://openalex.org/W2162355876","https://openalex.org/W2163881971","https://openalex.org/W2171343266","https://openalex.org/W4240913316"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W3159777597","https://openalex.org/W4212839359","https://openalex.org/W2115758952"],"abstract_inverted_index":{"Community":[0],"question":[1,43,120],"answering":[2,84],"(cQA)":[3],"has":[4],"become":[5],"a":[6,27,102,116],"popular":[7],"service":[8,23],"for":[9,119],"users":[10],"to":[11,50,54],"ask":[12],"and":[13,81,112,158],"answer":[14,91,113],"questions.":[15],"In":[16],"recent":[17],"years,":[18],"the":[19,33,40,55,65,70,78,82,95,143],"efficiency":[20],"of":[21,30,42],"cQA":[22,48],"is":[24,37],"hindered":[25],"by":[26,107],"sharp":[28],"increase":[29],"questions":[31,53,80],"in":[32,47,89],"community.":[34],"This":[35],"paper":[36,100],"concerned":[38],"with":[39],"problem":[41],"routing.":[44,121],"Question":[45],"routing":[46],"aims":[49],"route":[51],"new":[52,79],"eligible":[56],"answerers":[57],"who":[58],"can":[59],"give":[60],"high":[61,87],"quality":[62,114],"answers.":[63],"However,":[64],"traditional":[66,144],"methods":[67],"suffer":[68],"from":[69,131],"following":[71],"two":[72,97],"problems:":[73],"(1)":[74],"word":[75,110],"mismatch":[76,111],"between":[77],"users'":[83],"history;":[85],"(2)":[86],"variance":[88],"perceived":[90],"quality.":[92],"To":[93],"solve":[94],"above":[96],"problems,":[98],"this":[99],"proposes":[101],"novel":[103],"joint":[104],"learning":[105],"method":[106,140],"taking":[108],"both":[109],"into":[115],"unified":[117],"framework":[118],"We":[122],"conduct":[123],"experiments":[124],"on":[125],"large-scale":[126],"real":[127],"world":[128],"data":[129],"set":[130],"Yahoo!":[132],"Answers.":[133],"Experimental":[134],"results":[135],"show":[136],"that":[137],"our":[138],"proposed":[139],"significantly":[141],"outperforms":[142],"query":[145,160],"likelihood":[146,161],"language":[147,155,162],"model":[148,156,163],"(QLLM)":[149],"as":[150,152],"well":[151],"state-of-the-art":[153],"cluster-based":[154],"(CBLM)":[157],"category-sensitive":[159],"(TCSLM).":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}